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For Companies At a Glance
- Tasks: Join our AI team to build, train, and deploy cutting-edge AI models.
- Company: Dynamic tech company focused on AI innovation and collaboration.
- Benefits: 25+ days annual leave, hybrid working, and professional development budget.
- Why this job: Kickstart your career with real AI projects and expert mentorship.
- Qualifications: Recent graduate in relevant fields with a passion for AI and programming skills.
- Other info: Enjoy a vibrant culture with regular team events and excellent growth opportunities.
The predicted salary is between 28800 - 48000 £ per year.
Shape the Future with AI — Start Your Career Here
Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems?
We’re looking for an ambitious and curious Graduate AI Analyst / Engineer to join our AI & Data Science team. This is an ideal role for a recent graduate who wants to kickstart their career by working on real AI projects, learning from experts, and gaining hands‑on experience with modern AI tools, models, and data pipelines.
Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger to learn — we want to hear from you.
What You’ll Be Doing
You’ll work with experienced AI engineers and data scientists to:
- Build & Train Models: Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn.
- Explore & Prepare Data: Help clean, transform, and analyse large datasets for AI applications.
- Experiment & Research: Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency.
- Deploy & Monitor Models: Learn how to deploy models into pro…
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Graduate AI Analyst / Engineer employer: Kingsgate Recruitment Ltd
Contact Detail:
Kingsgate Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate AI Analyst / Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at events. Don’t be shy; ask questions and show your enthusiasm for AI. You never know who might have a lead on a job or can offer you some valuable advice.
✨Tip Number 2
Get hands-on with projects! Whether it’s through personal projects, hackathons, or contributing to open-source, showcase your skills. This not only builds your portfolio but also gives you real-world experience that employers love to see.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of AI concepts. Practice common interview questions and maybe even do mock interviews with friends. Confidence is key, so know your stuff!
✨Tip Number 4
Apply through our website! We’re always on the lookout for fresh talent. Tailor your application to highlight your passion for AI and any relevant projects or experiences. Let’s kickstart your career together!
We think you need these skills to ace Graduate AI Analyst / Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. Share any projects or experiences that sparked your interest in the field, as we love to see genuine passion!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight relevant skills and experiences that align with what we're looking for, like programming in Python or working with data science libraries.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's relevant. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the Graduate AI Analyst / Engineer position.
How to prepare for a job interview at Kingsgate Recruitment Ltd
✨Know Your AI Basics
Brush up on your understanding of AI and machine learning concepts. Be ready to discuss the fundamentals, such as neural networks, supervised vs unsupervised learning, and common algorithms. This shows your passion and readiness to dive into the role.
✨Showcase Your Projects
If you've worked on any relevant projects, whether during your studies or in personal time, be sure to highlight them. Discuss the tools you used, the challenges you faced, and how you overcame them. This practical experience can set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to programming in Python and using libraries like TensorFlow or PyTorch. Practice coding problems and be ready to explain your thought process. This will demonstrate your problem-solving skills and analytical thinking.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This not only shows your interest but also helps you gauge if the company is the right fit for you. Questions about their current AI projects or future trends can spark engaging conversations.
